pegasus-multi_news-headline_57k

This model is a fine-tuned version of google/pegasus-multi_news on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4503
• Rouge1: 42.3147
• Rouge2: 23.2213
• Rougel: 35.7441
• Rougelsum: 35.8964
• Gen Len: 33.8245

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.6546	1.0	11339	1.5170	41.7822	22.7843	35.3913	35.5749	34.1139
1.5132	2.0	22678	1.4602	42.0161	22.9778	35.5357	35.6921	33.9944
1.4147	3.0	34017	1.4503	42.3147	23.2213	35.7441	35.8964	33.8245

Framework versions

• Transformers 4.23.1
• Pytorch 1.12.1+cu113
• Datasets 2.6.0
• Tokenizers 0.13.1